Agent Lead Conversion Analytics

This dataset provides granular analytics on real estate agent lead conversion, including agent profiles, lead sources, conversion outcomes, and property details. Designed for agencies to optimize agent training, resource allocation, and market targeting, it enables detailed performance benchmarking and strategic decision-making.

  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Benchmarking agent lead conversion rates for performance management

Sample rows

preview · 8 of 200 rows · all 20 columns
agent_idstringlead_statusstringconversion_ratefloattraining_completedbooleanproperty_typestringagent_namestringagent_emailstringagent_phonestringoffice_idstringoffice_namestringlead_idstringlead_sourcestringlead_created_datedateconversion_datedateproperty_location_citystringproperty_location_statestringproperty_location_postal_codestringproperty_location_countrystringlead_valuefloatnotesstring
AGNT_1001contacted0.61trueresidentialMarissa Colemarissa.cole@homereal.com+1-212-555-0198office_nyc_01New York Central Realtylead_101201website2024-03-15blankNew YorkNY10010USA650000First-time buyer, high engagement.
agnt_1002converted0.93truecommercialSophia Leesophia.lee@urbanedge.co.uk+44 20 7946 0211office_london_02London Urban EdgeLEAD_102202referral2024-02-182024-03-12LondonEnglandEC2V 7HHUK3700000Corporate client, advanced lead.
AGENT_1003new0.55trueresidentialDaniela Silvadaniela.silva@casabrasil.com.br+55 11 99871-2201office_sp_03Sao Paulo Prime Estatesld_103203social_media2023-12-07blankSao PauloSP01310-000Brazil420000Buyer relocating for work.
agentX_1004converted0.89truecommercialAjay Singhajay.singh@delhiestates.in+91 11 4009 5634office_delhi_04Delhi Metropolitan Realtylead_104204referral2024-01-102024-02-17DelhiDelhi110001India5250000Corporate group, repeat client.
a_g_1005pending0.68truecommercialFatima Hassanfatima.hassan@dubairealty.ae+971 4 432 1122office_dubai_05Dubai City RealtyLEAD_105205website2024-04-02blankDubaiDubai00000UAE2100000International investor, awaiting documents.
AGNT_1006converted0.91truecommercialJames Kimjames.kim@seoulhomes.kr+82 2-772-3311office_seoul_06Seoul Smart Propertieslead_106206referral2023-11-232023-12-21SeoulSeoul04530South Korea3200000Business expansion, multiple sites.
agent_1007contacted0.83truecommercialMusa Okekemusa.okeke@lagosprime.ng+234 1 700 3321office_lagos_07Lagos Prime RealtyLEAD_107207website2024-03-22blankLagosLagos100001Nigeria2750000Corporate client, high priority.
AGNT_1008pending0.45falselandLiu Weiliu.wei@beijingrealty.cn+86 10 8888 1212office_beijing_08Beijing Realty Groupld_108208walk-in2023-09-05blankBeijingBeijing100000China760000Investor interested in development.

What the 200 rows show

from the 200-row sample

Lost (lead status) stands out: mean conversion_rate is 0.08, against 0.62 for the rest.

  • 71%training_completed = true
  • 0.54median conversion_rate
  • 5lead sources
  • 35property location countries
  • 550,000median lead_value
Mean conversion_rate by lead_status200 rows
00.510.40new25 rows0.62contac…51 rows0.90conver…51 rows0.08lost24 rows0.45pending49 rows
conversion_rate200 rows, in bands of 0.1
020401595243528235312500.51conversion_rate →

Median 0.54, from 0.0 to 0.97.

property_type198 rows with a value · 2 left blank
  1. residential88
  2. commercial62
  3. land27
  4. other21
20 columns by typefrom the column list below
  • string 15
  • float 2
  • date 2
  • boolean 1

Columns

20 columns in four groups
blueprint · 20 columns
columntypedescriptionexample
Text 15 columns
agent_idstringUnique identifier for the real estate agentuniqueAGNT_1001
agent_namestringFull name of the real estate agentMarissa Cole
agent_emailstringEmail address of the agentuniquejames.kim@seoulhomes.kr
agent_phonestringContact phone number of the agentoptional+1-212-555-0198
office_idstringUnique identifier for the agent's office or branchoffice_nyc_01
office_namestringName of the office or branch where the agent worksoptionalNew York Central Realty
lead_idstringUnique identifier for the leaduniquelead_101201
lead_sourcestringSource from which the lead originated (e.g., website, referral, social media)website · referral · social_media · walk-in · otherwebsite
lead_statusstringCurrent status of the lead (e.g., new, contacted, converted, lost)new · contacted · converted · lost · pendingcontacted
property_typestringType of property associated with the lead (e.g., residential, commercial, land)residential · commercial · land · other · optionalresidential
property_location_citystringCity where the property is locatedoptionalNew York
property_location_statestringState where the property is locatedoptionalNY
property_location_postal_codestringPostal code of the property's locationoptional10010
property_location_countrystringCountry where the property is locatedoptionalUSA
notesstringAdditional notes or comments about the lead or agent performanceoptionalLead did not respond.
Numbers 2 columns
lead_valuefloatEstimated value of the lead in terms of potential commission or property value0 or more · optional650000
conversion_ratefloatConversion rate for the agent, calculated as converted leads divided by total leads0 to 1 · optional0.61
Dates and times 2 columns
lead_created_datedateDate when the lead was created2024-03-15
conversion_datedateDate when the lead was converted to a client (if applicable)optional2024-03-12
True or false 1 column
training_completedbooleanIndicates if the agent has completed conversion trainingoptionaltrue

Use it for

  • training compl…71%141 of 200 rowsmean conversion rate …0.40new0.62cont…0.90conv…0.08lost

    A real estate dashboard

    The training_completed rate, conversion_rate by lead_status and a breakdown of property_type. Excel, Power BI or Tableau.

  • Why do the 24 lost rows have a mean conversion_rate of 0.08?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable agents with agent_name, agent_email and agent_phone to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 20 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows20 columns
Yours1,000 rows20 columnsproperty_location_city: UK only

blueprint · agent-lead-conversion-analytics

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 20 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Track lead source and agent ID
  • Record conversion outcome
  • Flag high-converting agents
  • Exclude cold leads
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
agent-lead-conversion-analytics

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